The face of chiropractic: evidence‐based?
Bibliographic record
Abstract
Abstract Background Chiropractors are the most accessed providers of complementary and alternative medicine care in C anada. However, some scepticism exists around the evidentiary base of the chiropractic profession. Objectives To examine the messages utilised by the chiropractic profession around issues of scope and efficacy through website communication with the public. Methods Website content of major C anadian chiropractic associations and colleges ( n =11), and commercial clinics ( n =80) was submitted to a mixed‐methods analysis. Content was reviewed to quantify specific health conditions described as treatable by chiropractic care. A qualitative textual analysis identified the primary messages related to evidence and efficacy utilised by the websites. Results Website content claimed that chiropractic is capable of addressing a wide range of health issues. Quantitative analysis revealed that association and college websites identified a total of 41 unique conditions treatable by chiropractic, while private clinic websites named 159 distinct conditions. The most commonly cited conditions included back pain, headaches/migraines and neck pain. Qualitative analysis revealed three prominent themes drawn upon in discussions of efficacy and evidence: grounded in science, the conflation of safety and efficacy and “natural” healing. Conclusions The chiropractic profession claims the capacity to treat health conditions that exceed those more traditionally associated with chiropractic. Website content persistently declared that such claims are supported by research and scientific evidence, and at times blurred the lines between safety and efficacy. The chiropractic profession may be struggling to define themselves both within the paradigm of conventional science as well as an alternative paradigm that embraces natural approaches.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.046 | 0.223 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".